﻿using LLama.Common;

namespace LLama.Examples.Examples
{
    public class LoadAndSaveState
    {
        public static async Task Run()
        {
            Console.Write("Please input your model path: ");
            var modelPath = Console.ReadLine();
            var prompt = (await File.ReadAllTextAsync("Assets/chat-with-bob.txt")).Trim();

            var parameters = new ModelParams(modelPath)
            {
                ContextSize = 1024,
                Seed = 1337,
                GpuLayerCount = 5
            };
            using var model = LLamaWeights.LoadFromFile(parameters);
            using var context = model.CreateContext(parameters);
            var ex = new InteractiveExecutor(context);

            Console.ForegroundColor = ConsoleColor.Yellow;
            Console.WriteLine("The executor has been enabled. In this example, the prompt is printed, the maximum tokens is set to 64 and the context size is 256. (an example for small scale usage)");
            Console.ForegroundColor = ConsoleColor.White;

            Console.Write(prompt);

            var inferenceParams = new InferenceParams() { Temperature = 0.6f, AntiPrompts = new List<string> { "User:" } };

            while (true)
            {
                await foreach (var text in ex.InferAsync(prompt, inferenceParams))
                {
                    Console.Write(text);
                }

                prompt = Console.ReadLine();
                if (prompt == "save")
                {
                    Console.Write("Your path to save model state: ");
                    var modelStatePath = Console.ReadLine();
                    ex.Context.SaveState(modelStatePath);

                    Console.Write("Your path to save executor state: ");
                    var executorStatePath = Console.ReadLine();
                    await ex.SaveState(executorStatePath);

                    Console.ForegroundColor = ConsoleColor.Yellow;
                    Console.WriteLine("All states saved!");
                    Console.ForegroundColor = ConsoleColor.White;

                    var ctx = ex.Context;
                    ctx.LoadState(modelStatePath);
                    ex = new InteractiveExecutor(ctx);
                    await ex.LoadState(executorStatePath);
                    Console.ForegroundColor = ConsoleColor.Yellow;
                    Console.WriteLine("Loaded state!");
                    Console.ForegroundColor = ConsoleColor.White;

                    Console.Write("Now you can continue your session: ");
                    Console.ForegroundColor = ConsoleColor.Green;
                    prompt = Console.ReadLine();
                    Console.ForegroundColor = ConsoleColor.White;
                }
            }
        }
    }
}
